Anomaly Detection on IT logs implementing DeepLog architecture

The use of logs is an essential tool in detecting anomalies in any systems, in many cases this process is a manual, cumbersome and requires the constant monitoring of logs with a human component. This project aim to use DeepLog architecture as a technique for generic log files.

Exploratory Data Analysis

Strategy to getting key parameters for logs

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